An Investigation of the Sample Performance of Two Nonnormality Corrections for RMSEA

The root mean square error of approximation (RMSEA) is a popular fit index in structural equation modeling (SEM). Typically, RMSEA is computed using the normal theory maximum likelihood (ML) fit function. Under nonnormality, the uncorrected sample estimate of the ML RMSEA tends to be inflated. Two robust corrections to the sample ML RMSEA have been proposed, but the theoretical and empirical differences between the 2 have not been explored. In this article, we investigate the behavior of these 2 corrections. We show that the virtually unknown correction due to Li and Bentler (2006) Li, L. and Bentler, P. M. 2006. “Robust statistical tests for evaluating the hypothesis of close fit of misspecified mean and covariance structural models.”. In UCLA Statistics Preprint #506. Los Angeles: University of California..  [Google Scholar], which we label the sample-corrected robust RMSEA, is a consistent estimate of the population ML RMSEA yet drastically reduces bias due to nonnormality in small samples. On the other hand, the popular correction implemented in several SEM programs, which we label the population-corrected robust RMSEA, has poor properties because it estimates a quantity that decreases with increasing nonnormality. We recommend the use of the sample-corrected RMSEA with nonnormal data and its wide implementation.     

Weight-based discrimination,body dissatisfaction and emotional eating: The role of perceived social consensus

Objective: Discrimination can have a negative impact on psychological well-being, attitudes and behaviour. This research evaluates the impact of experiences of weight-based discrimination upon emotional eating and body dissatisfaction, and also explores whether people's beliefs about an ingroup's social consensus concerning how favourably overweight people are regarded can moderate the relationship between experiences of discrimination and negative eating and weight-related cognitions and behaviours.

Research methods and procedures: 197 undergraduate students completed measures about their experiences of weight-based discrimination, emotional eating and body dissatisfaction. Participants also reported their beliefs concerning an ingroup's attitude towards overweight people.

Results: Recollections of weight-based discrimination significantly contributed to emotional eating and body dissatisfaction. However, the relationships between experiencing discrimination and body dissatisfaction and emotional eating were weakest amongst participants who believed that the ingroup held a positive attitude towards overweight people.

Discussion: Beliefs about ingroup social consensus concerning overweight people can influence the relationships between weight-based discrimination and emotional eating and body dissatisfaction. Changing group perceptions to perceive it to be unacceptable to discriminate against overweight people may help to protect victims of discrimination against the negative consequences of weight-based stigma.     

Causal attributions for heart disease: A systematic review

Abstract

The aims of this systematic literature review are to describe the pattern of attributions made for the causes of heart disease, and to determine how this pattern varies with the method by which attributions are elicited, and the respondent group.

A search yielded 47 papers and reports, containing 54 datasets. Lifestyle factors and chronic stress were the most common causes cited across all datasets. Attributions to stressors and fate or luck were more likely to be reported in studies that used interval rating scales than in studies that used dichotomous ratings. Cardiac patients were more likely to mention stressors and fate or luck as causes of heart disease; non-patients rated being overweight and hypertensive as more important

The differences observed between the responses of patients and non-patients may be due to actor - observer differences, or to a methodological difference: patients are often asked to report their own experiences whereas non-patients are asked about the general case.     

A qualitative exploration of the health promotion effects of varying body size in photographs analyzed using Interpretative Phenomenological Analysis

As levels of obesity continue to rise worldwide so do the number of public health campaigns designed to help address this problem with advice and information on how to stabilize or decrease weight. However, few studies have explored the influence of visual images, and specifically photographs, in weight-related health materials despite their widespread use in publications and online. We carried out qualitative individual telephone interviews with eight women who were actively engaged in managing their weight. They viewed a series of photographs of slim and overweight women demonstrating healthy behaviors such as engaging in physical activity or reading a food label. Responses were analyzed using Interpretative Phenomenological Analysis. The two core themes that emerged were the motivating/de-motivating effect of body size representation on health behavior intentions, and the social implications of being overweight. Participants liked and appeared motivated by the images of larger women, actively seeking out social comparisons. Implications of these findings in the development of health promotion messages are discussed.     

Predictors of Diabetes Self‐care,Metabolic Control,and Mental Health in Youth with Type 1 Diabetes

The purpose of this study was to explore the psychosocial predictors of diabetes self‐care (adherence to care regimes), metabolic control (glycated haemoglobin), and mental health among rural‐ and urban‐dwelling youth with type 1 diabetes. One hundred and twenty three adolescents/young adults (aged 13?25 years, mean = 16 years, standard deviation = 3.8 years) with type 1 diabetes, 50 males and 73 females, completed questionnaires reporting on diabetes self‐care, metabolic control, mental health (negative affect, quality of life), risk‐taking behaviours and attitudes, diabetes self‐efficacy, community engagement, and perceived social support. No rural/urban differences were detected on key predictors or outcome variables. Structural equation modelling revealed that high diabetes self‐efficacy, lower risk behaviour, and more conservative attitudes to risk taking predicted better diabetes self‐care, which in turn predicted better metabolic control and mental health. Social support and engagement in community activities did not influence diabetes self‐care. The study has significance because both diabetes self‐efficacy and propensity towards risk behaviour are potential targets for educational and counselling interventions designed to improve diabetes self‐care regimes and resultant metabolic and mental health outcomes.